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    Senior Data Engineer - Analytics

    Pennylane

    Global Remote
    Data Engineering

    About the role

    Pennylane is hiring a Senior Data Engineer for its Self Service Analytics team, remote across Europe (Italy fits the CET-aligned policy).

    Pennylane is a French fintech (Sequoia-backed, EUR 400M raised, 1000+ employees) building the financial OS for SMEs and accounting firms. 900,000+ SMEs and 6,000+ accounting firms use it. The Data department is 50+ people, the data engineering community is 20+, and you join the Self Service Analytics team.

    You translate complex business requirements into scalable data models and services, model data as a product across a medallion architecture in the data lake, build and maintain the data analytics platform (ingestion, validation, data-as-production), contribute to data governance and the data catalogue, and design ETL pipelines, batch processing, and data warehousing.

    Required: senior data engineering experience, dbt, SQL, data modeling fluency.

    What stands out: data is treated as a production asset with explicit leadership buy-in. Pennylane is the French fintech still genuinely scaling, expanding from France into the EU.

    This recap is dataskew's editorial summary, not the company's copy.